% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33021 % Primary Name: WILKERSON'S % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.26670 +/- 0.00005 % Longitude: -77.00000 +/- 0.00005 % Elevation (m): 8.53 +/- 0.15 % # of Months: 37 % % Alternate Names: Missing Station ID - 449135 % % IDs: coop - 449135 % ghcnd - USC00449135 % ncdc - 12005806 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5116605397a09b3a8fcc99c0413909dd % Raw Data Hash: 662acd4ad64867f7bfde4b6a82ffff59 % Adj Data Hash: 1ac4fc97a9900431fa5b10d8737b7880 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1901 5 NaN NaN NaN NaN NaN NaN 18.000 -0.696 1901 6 NaN NaN NaN NaN NaN NaN 23.007 0.080 1901 7 NaN NaN NaN NaN NaN NaN 27.050 1.779 1901 8 NaN NaN NaN NaN NaN NaN 24.924 0.262 1901 9 NaN NaN NaN NaN NaN NaN 20.760 -0.266 1901 10 NaN NaN NaN NaN NaN NaN 13.809 -0.590 1901 11 NaN NaN NaN NaN NaN NaN 5.843 -3.112 1901 12 NaN NaN NaN NaN NaN NaN 2.172 -1.562 1902 1 NaN NaN NaN NaN NaN NaN 0.388 -1.633 1902 2 NaN NaN NaN NaN NaN NaN -0.737 -4.066 1902 3 NaN NaN NaN NaN NaN NaN 8.934 0.823 1902 4 NaN NaN NaN NaN NaN NaN 12.760 -1.041 1902 5 20.641 1.881 1 0 NaN NaN 19.320 0.623 1902 6 22.907 -0.085 0 0 22.907 -0.085 22.744 -0.184 1902 7 25.345 0.010 0 0 25.345 0.010 25.591 0.319 1902 8 23.566 -1.160 0 0 23.566 -1.160 23.411 -1.252 1902 9 19.967 -1.123 0 0 19.967 -1.123 20.115 -0.911 1902 10 15.942 1.480 0 0 15.942 1.480 15.323 0.925 1902 11 12.111 3.092 0 0 12.111 3.092 12.073 3.118 1902 12 3.172 -0.625 0 0 3.172 -0.625 2.666 -1.067 1903 1 1.940 -0.144 0 0 1.940 -0.144 1.480 -0.541 1903 2 4.295 0.902 0 0 4.295 0.902 3.873 0.543 1903 3 11.201 3.026 0 0 11.201 3.026 11.438 3.327 1903 4 12.884 -0.982 0 0 12.884 -0.982 13.476 -0.325 1903 5 18.978 0.219 0 0 18.978 0.219 18.754 0.058 1903 6 20.204 -2.788 0 0 20.204 -2.788 20.344 -2.584 1903 7 25.480 0.144 0 0 25.480 0.144 25.214 -0.057 1903 8 23.298 -1.428 0 0 23.298 -1.428 23.718 -0.945 1903 9 20.443 -0.647 0 0 20.443 -0.647 20.409 -0.617 1903 10 14.558 0.096 0 0 14.558 0.096 13.927 -0.471 1903 11 6.708 -2.311 0 0 6.708 -2.311 6.813 -2.143 1903 12 1.040 -2.757 0 0 1.040 -2.757 0.460 -3.273 1904 1 -0.818 -2.902 0 0 -0.818 -2.902 -0.994 -3.015 1904 2 -0.709 -4.102 0 0 -0.709 -4.102 -1.018 -4.347 1904 3 7.007 -1.168 0 0 7.007 -1.168 7.549 -0.562 1904 4 11.051 -2.814 0 0 11.051 -2.814 11.742 -2.060 1904 5 18.461 -0.298 0 0 18.461 -0.298 18.537 -0.159 1904 6 22.598 -0.393 0 0 22.598 -0.393 22.569 -0.359 1904 7 24.434 -0.901 0 0 24.434 -0.901 24.323 -0.949 1904 8 23.869 -0.857 0 0 23.869 -0.857 23.544 -1.119 1904 9 21.153 0.064 0 0 21.153 0.064 20.929 -0.097 1904 10 13.463 -0.999 0 0 13.463 -0.999 12.773 -1.625 1904 11 6.895 -2.124 0 0 6.895 -2.124 7.119 -1.836 1904 12 0.571 -3.226 0 0 0.571 -3.226 0.342 -3.392 1905 1 -0.352 -2.436 0 0 -0.352 -2.436 -0.280 -2.301 1905 2 -2.075 -5.468 0 0 -2.075 -5.468 -2.450 -5.780 1905 3 8.340 0.166 0 0 8.340 0.166 8.919 0.808 1905 4 13.337 -0.529 0 0 13.337 -0.529 13.607 -0.195 1905 5 19.359 0.600 1 0 NaN NaN 19.594 0.898 1905 6 NaN NaN NaN NaN NaN NaN 22.795 -0.133 1905 7 NaN NaN NaN NaN NaN NaN 25.162 -0.110 1905 8 NaN NaN NaN NaN NaN NaN 23.752 -0.911 1905 9 NaN NaN NaN NaN NaN NaN 21.182 0.156 1905 10 NaN NaN NaN NaN NaN NaN 14.249 -0.149 1905 11 NaN NaN NaN NaN NaN NaN 8.212 -0.744 1905 12 NaN NaN NaN NaN NaN NaN 3.269 -0.464 1906 1 NaN NaN NaN NaN NaN NaN 4.829 2.808 1906 2 NaN NaN NaN NaN NaN NaN 2.148 -1.181 1906 3 NaN NaN NaN NaN NaN NaN 4.951 -3.161 1906 4 NaN NaN NaN NaN NaN NaN 14.157 0.356 1906 5 NaN NaN NaN NaN NaN NaN 18.492 -0.204